Why 2025 will be the year of AI orchestration
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In the tech world, we like to refer to time periods as the year of (insert milestone here). Last year (2024) was a year of broader experimentation with AI and, of course, agent use cases.
As we head into 2025, VentureBeat spoke to industry analysts and IT decision makers to find out what the year might bring. For many, 2025 will be the year of the agent, when all the pilot programs, experiments and new things take place AI use cases converge into something resembling a return on investment.
Additionally, VentureBeat experts see 2025 as the year when AI orchestration will play a larger role in enterprises. Companies plan to make managing AI applications and agents much easier.
Here are some topics we expect to see more of in 2025.
More effort
Swami Sivasubramanian, Vice President of AI and Data at AWSsaid 2025 will be the year of productivity as executives begin to care more about the costs of using AI. Proof of productivity is essential. This starts with understanding how to improve multiple agents, both within internal workflows and in the context of other services.
“In one Agent worldWorkflows are being rethought and people are starting to ask themselves how to quintuple productivity,” he said.
Palantir Chief architect Akshay Krishnaswamy agreed that decision makers, especially those outside the technology cluster, are starting to get nervous when they see the impact of these AI investments on their companies.
“People are rightly tired when it comes to more sandboxing because it’s the whole data and analytics journey over the last decade where people have also done a lot of experimentation,” Krishnaswamy said. “If you’re a leader, you think, ‘This has to be the year I actually see ROI, right?'”
An explosion of orchestration frameworks
In 2025, there will be a greater need to create infrastructure to manage multiple AI agents and applications.
Chris Jangareddy, Managing Director at Deloittetold VentureBeat that the next year will be very exciting. Competitors are confronted LangChain and other AI companies looking to offer their own orchestration platforms.
“Many tools are catching up with LangChain and we will see more new players emerge,” Jangareddy said. “Even before companies can think about multi-agent, they are already thinking about orchestration, so everyone is building that layer.”
Many AI developers turned to LangChain to start building a traffic system for AI applications. However, for some companies, LangChain is not always the best solution, which is why some new options are being added Magentic from Microsoftor comparable companies like LlamaIndex But 2025 is expected to see an explosion of even more new options for businesses.
“Orchestration frameworks are still very experimental with LangChain and Magentic, so you can’t commit to just one,” said Matt Wood, global commercial technology and innovation officer at PwC. “Tool making in this area is still in its infancy and will continue to grow.”
Better agents and more integrations
AI agents became the biggest trend for businesses in 2024. As companies prepare to use multiple agents in their workflows, the possibility of agents moving from one system to another becomes more apparent. This is especially true when companies want to demonstrate the full value of their agents to managers and employees.
Platforms like The foundation of AWSand even Slack offer connections to other agents of Salesforce Agentforce or ServiceNow, This makes it easier to transfer context from one platform to another. However, we need to understand how to support these integrations Teaching Orchestrator Agents Identifying internal and external actors becomes an important task.
As agent workflows become more complex, more powerful reasoning models are being developed recently, such as the one recently developed by OpenAI announced 03 or Google Gemini 2.0could make Orchestrator agents more powerful.
However, all of this will be for naught if companies don’t actually get their employees using new AI tools by 2025.
Don Vu, Chief Data and Analytics Officer New York lifetold VentureBeat that the last-mile problem, where employees often prefer more manual methods over AI, will continue into the next year.
“The last mile problem is something that has been bugging all of us in 2024, and understanding that change management and business process redesign may not be as sexy as developing an agent who does all of these incredible things can do,” Vu said. “It’s harder to change human behavior than to deploy an app.”
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